Alexander Kleiner

A famous scientist said once that all knowledge of reality starts from experience and ends in it.

I believe that experience and therefore a larger variety in observations, are the basis for better decision making. This can play an important role, for example, in the assessment of talent and skill of people, as well as when doctors conclude medical diagnoses while observing patients and medical data such as pathology images.

Today we have the possibility to train machine learning (ML) systems with millions of images and to asses them in an instant of time. More experience that a single person can ever gain during a life time. ML systems already performed medical diagnoses on par with doctors. They successfully predict heart failure from electronic health records, detect cancer metastases on pathology Images, and diabetic eye disease from retinal photographs.

These successes are most likely just the tip of the iceberg. I believe that there are many more things that can be found in human data for the positiv benefit of people. Dirk’s real-world experience and proven track record in assessing specific skill sets of thousands of top-level managers, executives, and athletes is a great opportunity for beginning the search.

Alexander Kleiner
Dr. Alexander Kleiner received a M.Sc. degree (with distinction) in computer science at the Stafford University, UK, in 2000, a Ph.D degree (magna cum laude) in computer science at the University of Freiburg, Germany in 2008, and a docent degree (habilitation) at Linkoeping University, Sweden, in 2013.

He was a postdoctoral fellow at Carnegie Mellon University in 2010 and at La Sapienza University, Rome, Italy in 2011. 

From 2011 to 2014 he was associate professor at Linkoeping University, Sweden, where he headed the research group on collaborative robotics.

From 2014 to 2017 he worked as senior principal robotics scientist with technical lead at iRobot, and now works as President of AI and Machine Learning for FaceMap LLC. 

From 2006 to 2014 he served as a member of the executive committee of RoboCup, and since 2008 as member of the IEEE Technical Committee on Safety Security and Rescue Robotics. 

He served as General Chair of the IEEE International Symposium on Safety, Security, and Rescue Robotics 2013 and program chair in 2012. 

From 2012 to 2017 he served as an associate editor for IROS and ICRA. His research interests include robotics, computer vision, and machine learning.